Corollary 3.Consider Algorithm 1 withinitialpointx0, parameters satisfying 1.1 = O( 1)and 00, and -MSoracleOaMSN (with LAZY= Trueinallbutthefirstiteration) with 2 (0.01,0.99).

As a result, it is unclear for both researchers and practitioners what models perform best.

Pedestrian pre-collision pose is one of the key factors to determine the degree of pedestrian-vehicle injury in collision. Human pose estimation algorithm is an effective method to estimate pedestrian emergency pose from accident video.

To address this issue, some researchers [3,35,18]havetried toembed BCs into the ansatz.